基于MapReduce云计算的智能电网数据分析方法研究  

Research on smart grid data analysis method based on MapReduce cloud computing

作　　者：蓝新斌 邱丹骅 周巍 崔艳林 孟子杰 LAN Xin-bin;QIU Dan-hua;ZHOU Wei;CUI Yan-lin;MENG Zi-jie(Power Dispatching Control Center,Guangdong Power Grid Co.,Ltd.,Guangzhou 510600,China)

机构地区：[1]广东电网有限责任公司电力调度控制中心,广东广州510600

出　　处：《电子设计工程》2020年第13期50-53,60,共5页Electronic Design Engineering

基　　金：中国南方电网科技项目(2017BR11007)。

摘　　要：针对构建智能电网过程中存在云端储存数据冗杂,导致电力系统调度准确性下降,严重危害电力系统稳定运行的问题。文中提出了一种基于MapReduce云计算的智能电网数据分析方法,该方法在智能电网云计算的基础上,采用MapReduce并行优化算法以提升系统响应效率,并依据该算法构建了MapReduce云计算模型。最后,将该方法应用于智能电网的数据分析中进行验证,结果表明,该智能电网数据分析方法能够有效提升电力数据分析的准确性和效率,具有良好的工程应用价值。In the process of building smart grid,there are many data stored in the cloud,which leads to the decrease of power system dispatching accuracy and seriously endangers the stable operation of power system.In this paper,a data analysis method of smart grid based on MapReduce cloud computing is proposed.Based on the smart grid cloud computing,the parallel optimization algorithm of MapReduce is adopted to improve the system response efficiency,and the MapReduce cloud computing model is constructed according to the algorithm.Finally,the method is applied to the data analysis of smart grid for verification.The results show that the method can effectively improve the accuracy and efficiency of power data analysis,and has good engineering application value.

关 键 词：MapReduce云计算 并行优化算法 智能电网 电力数据分析 电力系统 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]